GaragePlug vs LxCars

GaragePlug is a cloud platform for auto repair workshops and detailing centers. It organizes workshop workflows and appointments, digital job cards, e-invoicing, inspections, estimate approvals, parts inventory, technician time tracking, and vehicle history. Teams can send quotes, invoices, inspection reports, service updates, and payment reminders by SMS, email, or WhatsApp. Customers can use a branded app, web booking, self-check-in, and service reminders. Dashboards report on revenue, sales, inventory, technicians, multiple outlets, and other business metrics. Gia, its AI advisor, answers calls around the clock, books or reschedules visits, handles service-status calls, and can transfer calls to staff. GaragePlug runs on Android, iOS, and the web, including desktops, laptops, smartphones, and tablets. The company lists onboarding, training, live support, in-platform chat, and online and video training. It is paid, with pricing on request and no free plan; a seven-day free trial is available.

LxCars is a web-based ERP for motor-vehicle repair shops and dealerships, combining customer management, invoicing, vehicle records, mechanic time tracking, and work planning. Its vehicle database connects to KBA vehicle data, and an AI-assisted scanner can extract details from photographed or uploaded registration documents. Mechanics can use work instructions, record time, and request spare parts; the TÜV module handles defects and inspection reminders. Accounting covers quotes, orders, invoices, and delivery notes, with DATEV export and role-based access rights. The Community plan is free and includes the full software, self-hosted under the MIT license. LxCars can run locally or in Docker on customer infrastructure, using PostgreSQL on its own server without a cloud dependency. Installation documentation specifies Linux server components including PHP 8 and PostgreSQL 16, or Docker and Docker Compose. Optional AI tools include call transcription, vehicle chat, work-item suggestions, number-plate recognition, incoming-invoice analysis, and an office assistant. Text requests are sent encrypted to Anthropic or OpenAI APIs; number-plate recognition runs locally.